Direct Imaging of the Nerve and Neuronic Signals

Abstract

Event Abstract Back to Event Direct Imaging of the Nerve and Neuronic Signals Rostyslav Sklyar1* 1 Independent/Private, Ukraine Most superconducting quantum interference devices (SQUIDs) are incorporated into whole-head systems for magnetoencephalography (MEG)- the detection of magnetic fields (MFs) produced by brain. A typical helmet contains about 300 sensors, including a number of reference sensors for noise cancellation, cooled to 4.2 K. Also an attempt to generalize the current knowledge of passive MF transducers— SQUID and induction sensors (MAFCOPS)— and to incorporate elements of both designs in order to find a way to improve their performance data by creating, in theory, a combined transducer— superconducting induction magnetometer (SIM) was done. The proposed magnetometer circuit consists of both room-temperature or cooled (up to superconductive) pickup coil (PC) and a superconducting field-effect transistor (SuFET). The main advantages of the SIM with respect to the existing MAFCOPS are:1) Because their overall dimensions are not restricted by cooling volume, there is the opportunity to exploit PCs with different dimensions so as to reduce power consumption and mass of refrigeration installation; 2) The dimensions of coils are reduced and they are not shielded by cryogenic wrap. This absence of shielding enables better resolution and penetration when imaging; 3) The PC is not constrained by cryogenic temperatures and may be extended a large distance from the electronic circuits in different working fluids;4) It functions in two different modes depending on the ratio of the SuFET critical current to sensor coil current;5) The possibility of mixing the said modes during operation according to the requirements of measuring process;6)The possibility of multiplying both head sensors and SuFET-based circuits in order to match better magnetometer with imaging process.7)The radial gradiometer detects the radial gradient of MF (radial with respect to the surface of the head or spinal cord).Implantable neural probes are generally preferred to have a minimum footprint as possible to minimize neural damage and to facilitate easy entry and movement through the brain tissue. Implantable neural probes for neuroscience are generally preferred to have a minimum footprint as possible to minimize neural damage. Alternatively, a SuFET based neurotransducer with carbon nanotubes (CNT) or PC kind of input circuit for the nerve and neuron impulse has been designed. It combines the bioelectric nature of nerve and neuronic signals (NS) with body-temperature PC and zero resistance input of the SuFET device in order to obtain most advantageous biosensor/transducer (SuFETTr). The described SuFETTrs designed on the basis of organic and nano SuFETs are suitable for describing the wide range of NS dynamical parameters. Serial connection of the external PCs allows us to gain some integrated signal, i.e., the whole NS, which spreads along the number of axons of the nerve fibre or neuron synapses; the amount of ions passing through the PCs and the generalized NS passing through one or number of NS channels. When SuFET channel(s) of are implanted into the tissue or process we can acquire more precise data about the frequency distribution of NS, their volume distribution, and detecting activity of individual neurons. Keywords: superconducting quantum interference devices Conference: Neuroinformatics 2009, Pilsen, Czechia, 6 Sep - 8 Sep, 2009. Presentation Type: Poster Presentation Topic: Neuroimaging Citation: Sklyar R (2019). Direct Imaging of the Nerve and Neuronic Signals. Front. Neuroinform. Conference Abstract: Neuroinformatics 2009. doi: 10.3389/conf.neuro.11.2009.08.018 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 21 May 2009; Published Online: 09 May 2019. * Correspondence: Dr. Rostyslav Sklyar, Independent/Private, Lviv, Ukraine, r_sklyar@hotmail.com Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Rostyslav Sklyar Google Rostyslav Sklyar Google Scholar Rostyslav Sklyar PubMed Rostyslav Sklyar Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. 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